Aside

Contact

Packages

Key Skills

• Strong knowledge of statistical software and programming
• Advanced data extraction and data management skills
• Ability to collaborate effectively and work independently
• Experience with documenting and reporting analytical outcomes using technical tools
• Ability to wrangle unstructured data and detect issues to ensure data quality

Languages

• Vietnamese (native)

• English (fluent)

Main

Minh Chau

My career goal is to apply my skills and knowledge in producing quality and meaningful projects through data solutions that benefit critical decision making. I currently seek a suitable job to enhance my statistical and programming skills, practice new packages and contribute to New Zealand society.

Education

Master of Applied Statistics

Victoria University of Wellington

Wellington, NZ

03/2019 - 06/2020

Bachelor of Science in Statistics

Otago University

Dunedin, NZ

03/2015 - 06/2019

Work Experience

Research Assistant

Massey University Wellington

Wellington, NZ

  • Create informative graphs and interpret results
  • Extract, process and analyze survey data using appropriate statistical methods
  • Communicate with client clearly to fulfil requirements

08/2020 - 09/2020

Sessional Assistant

Victoria University of Wellington

Wellington, NZ

  • Mark 100-level statistics assignments
  • Attend to training and meetings
  • Enter assignments’ grades correctly and in accordance with the marking system’s guidelines

04/2020 - current

Intern/Data Analyst

Harmonic Analytics

Wellington, NZ

  • Wrangle and analyze time series data
  • Investigate different predictive modelling methods
  • Produce a dashboard with interactive plots to present the results
  • Co-operate with supervisors to deliver according to the client’s requirements

03/2020 - 06/2020

Sandwich Artist

Subway

Wellington, NZ

  • Work in a busy team under pressure
  • Prepare orders neatly, according to formula, and in a timely manner
  • Adhere to proper food handling, safety and sanitation standards

08/2018 - 12/2019

Projects

The following projects can be found in details on my personal website, https://minhchauvannguyen.github.io/.

Statistical Consulting Assignment

Report written based on the Factors influencing the total mercury and methyl mercury in the hair of the fishermen article by N.B. Al-Majed and M.R. Preston, with the aim to investigate the relationship between the amount of fish intake and mercury levels found in fisherman hair.

N/A

08/2019

Link

Kaggle Data Shiny Application

Shiny application allowing the user to perform interactive analysis on Kaggle suicide statistics accumulated at world level. I built this page when I first learned how to use Shiny for a university project assignment.

N/A

09/2019

Link

Cluster Analysis Research Project

Research study documenting the cluster analysis of ordinal and binary lingustics data. The model-based clustering approach using finite mixtures was proposed and the general ordinal models were described in the context of one-mode and two-mode hard clustering.

N/A

02/2020

Link

Time Series Analysis of Orange data Technical Report

Technical report summarising a variety of methods used for fitting time series data. The aim is to keep track of the data process, and report the findings of the models’ perfomances and their predictive ability.

N/A

05/2020

Link

Time Series Analysis Shiny Dashboard for Orange data

Shiny dashboard demonstrating Time Series analysis of randomly generated data. This dashboard was reproduced using the structure of the dashboard I had previously created for a client during my internship at Harmonic Analytics.

N/A

06/2020

Link

ICMR in patients under 18 years old design study

In applying multinomial logistic regression and Kaplan-Meier survival methods to health data, the purpose of this study is to examine the long term effect of Carpentier-Edwards Ring or Band annuloplasty in patients under the age of 18 years old.

N/A

07/2020

Link

ICMR in patients under 18 years old follow-up report

This research study explores three different statistical methodologies, contingency table analysis, Bayesian approach to multiple multinomial logistic regression and Random Forest classification algorithm and their application to health data. The results were reported to conclude the relationship between the side effect of annuloplasty Band and the clinical outcome of Mitral Regurgitation in patients with mitral valve diseases.

N/A

09/2020

Link

REFERENCES
  • • Shirley Wu

Operation Manager
Harmonic Analytics
shirley@harmonic.co.nz

This resume was made with the R package pagedown.